CN111160710B - Multi-target resource scheduling automation control method and device - Google Patents
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- CN111160710B CN111160710B CN201911235104.XA CN201911235104A CN111160710B CN 111160710 B CN111160710 B CN 111160710B CN 201911235104 A CN201911235104 A CN 201911235104A CN 111160710 B CN111160710 B CN 111160710B
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- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
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- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063114—Status monitoring or status determination for a person or group
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a multi-target resource scheduling automatic control method and device. The method comprises the following steps: acquiring task information from a mobile Internet of things terminal; determining idle information of a plurality of target resources; performing dynamic modeling on the plurality of target resources based on the idle information and the task information to generate scheduling information; and scheduling the plurality of target resources based on the scheduling information. The multi-target resource scheduling automatic management and control method and device can update and present management and control data in scheduling automation dynamically in real time, efficiently and accurately, and perform real-time monitoring, intelligent inventory and efficient management on assets.
Description
Technical Field
The invention relates to the field of computer information processing, in particular to a multi-target resource scheduling automatic control method and device.
Background
Aiming at the safety management technology of the power enterprises, some domestic researches provide the concept of an intrinsic safety power grid enterprise and an intrinsic safety management system of the power grid enterprise, according to the practical management of the power grid enterprise, through integrating excellent enterprise practices and by means of a big data model, a 'circle layer' model for constructing the intrinsic safety management system is provided, and the integrity of a safety management system framework is realized through three dimensions of personnel, a network and equipment.
At present, equipment management is still based on a mode of ledger records, automatic equipment real object asset ledger management of scheduling is messy, real-time equipment asset information cannot be accurately counted, and intelligent management of the equipment is lacked. In particular, there is a gap in the full lifecycle monitoring of core assets. In addition, the devices and the assets are still managed and monitored independently, the state information between the devices is difficult to integrate effectively, and an effective cooperative monitoring management mechanism between the devices is lacked.
With the increase of service support range and the increase of service operation distance, the application requirement of mobile operation is greatly improved, but the operation and maintenance of the current dispatching automation machine room is only limited to an on-duty monitoring platform, is limited by time, place and personnel, and lacks a panoramic perception and safety control system display system and terminal equipment facing dispatching automation.
Therefore, a new method and apparatus for automatically managing and controlling multi-target resource scheduling are needed.
Disclosure of Invention
In view of this, the present disclosure provides a method and an apparatus for automatically managing and controlling multi-target resource scheduling, which can update and present the management and control data in the scheduling automation dynamically, efficiently and accurately, and perform real-time monitoring, intelligent inventory and efficient management on assets.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.
According to one aspect of the disclosure, a method for automatically managing and controlling multi-target resource scheduling is provided, and the method includes: acquiring task information from a mobile Internet of things terminal; determining idle information of a plurality of target resources; performing dynamic modeling on the plurality of target resources based on the idle information and the task information to generate scheduling information; and scheduling the plurality of target resources based on the scheduling information.
In an exemplary embodiment of the present disclosure, further comprising: and displaying the idle information of the target resources.
In an exemplary embodiment of the present disclosure, acquiring task information from a mobile internet of things terminal includes: the method comprises the steps that a mobile Internet of things terminal obtains task information, wherein the task information comprises a plurality of target resources and corresponding operation sequences; wherein the target resources comprise equipment, personnel and assets.
In an exemplary embodiment of the present disclosure, determining idle information for a plurality of target resources includes: acquiring real-time information of a plurality of target resources; acquiring the executing task information of the target resources; and determining idle information of a plurality of target resources according to the real-time information and the task information being executed.
In an exemplary embodiment of the present disclosure, determining idle information of a plurality of target resources according to the real-time information and the executing task information includes: determining the occupation states and task duration of the plurality of resources according to the real-time information and the task information being executed; and determining idle information for a plurality of target resources based on the occupancy status and task duration.
In an exemplary embodiment of the present disclosure, the dynamically modeling the plurality of target resources based on the idle information and the task information, and generating the scheduling information includes: determining the time to be occupied by the target resources and executing operation based on the task information; determining available times for the plurality of target resources based on the idle information; and dynamically modeling through occupied time, execution operation and available time to generate the scheduling information.
In an exemplary embodiment of the present disclosure, generating the scheduling information by dynamically modeling an occupied time and an execution operation, available time includes: performing dynamic modeling through occupied time, execution operation and available time to generate the working start time and the working end time of a plurality of target resources; and/or dynamically modeling by occupying time, executing operation and available time to generate working contents of a plurality of target resources; and/or generating transmission data of a plurality of target resources by carrying out dynamic modeling through occupied time, execution operation and available time; and generating the scheduling information through the working start time and the working end time of the target resources, the working content and the transmission data.
In an exemplary embodiment of the present disclosure, scheduling the plurality of target resources based on the scheduling information includes: splitting the scheduling information according to a plurality of target resources to generate a plurality of sub-scheduling information; and respectively sending the self-scheduling information to a plurality of target resources to schedule the target resources.
According to an aspect of the present disclosure, an apparatus for managing and controlling a plurality of target resource scheduling automatons is provided, the apparatus including: the task module is used for acquiring task information from the mobile Internet of things terminal; an idle module for determining idle information of a plurality of target resources; the information module is used for carrying out dynamic modeling on the target resources based on the idle information and the task information to generate scheduling information; and a scheduling module for scheduling the plurality of target resources based on the scheduling information.
In an exemplary embodiment of the present disclosure, further comprising: and the display module is used for displaying the idle information of the target resources.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram illustrating a method and an apparatus for managing and controlling multi-target resource scheduling automation according to an exemplary embodiment.
FIG. 2 is a flowchart illustrating a method for multi-target resource scheduling automation management and control, according to an example embodiment.
FIG. 3 is a flowchart illustrating a method for multi-target resource scheduling automation management and control, according to another example embodiment.
FIG. 4 is a flowchart illustrating a method for multi-target resource scheduling automation management and control, according to another example embodiment.
Fig. 5 is a block diagram illustrating a plurality of target resource scheduling automation management appliances, according to an example embodiment.
Detailed Description
Fig. 1 is a system block diagram illustrating a method and an apparatus for managing and controlling multi-target resource scheduling automation according to an exemplary embodiment.
As shown in fig. 1, the system architecture 100 may include electrical devices 101, 102, 103, a network 104, and a server 105. The network 104 is used to provide a medium of communication links between the power devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
A user may use the electrical devices 101, 102, 103 to interact with the server 105 over the network 104 to receive or send messages or the like. The power devices 101, 102, 103 may have various communication client applications installed thereon, such as a task assignment application, a web browser application, a search application, an instant messaging tool, a mailbox client, social platform software, and the like.
The power devices 101, 102, 103 may be related devices having the capability to measure power conditions or perform power tasks, including but not limited to power related devices, user terminals, asset information, smart phones, tablets, laptop portable computers, desktop computers, and the like.
The server 105 may be a server that provides various services, such as a background management server that manages the power devices 101, 102, 103. The background management server may analyze the received scheduling task information, and feed back a processing result (e.g., target scheduling information, device operating status, and the like) to the management user.
The server 105 may, for example, obtain task information from the mobile internet of things terminal; the server 105 may, for example, determine idle information for a plurality of target resources; the server 105 may generate scheduling information, e.g., based on the idle information and the task information to dynamically model the plurality of target resources; the server 105 may schedule the power devices 101, 102, 103, for example, based on the scheduling information.
The server 105 may be an entity server, or may be composed of a plurality of servers, for example, it should be noted that the multi-target resource scheduling automation control method provided by the embodiment of the present disclosure may be executed by the server 105, and accordingly, a plurality of target resource scheduling automation control apparatuses may be disposed in the server 105.
FIG. 2 is a flowchart illustrating a method for multi-target resource scheduling automation management and control, according to an example embodiment. The multi-target resource scheduling automation control method 20 at least includes steps S202 to S208.
As shown in fig. 2, in S202, task information from the mobile internet of things terminal is acquired. The method comprises the following steps: the method comprises the steps that a mobile Internet of things terminal obtains task information, wherein the task information comprises a plurality of target resources and corresponding operation sequences; wherein the target resources comprise equipment, personnel and assets.
The internet of things (IOT) refers to intelligent sensing, identification and management of articles and processes through various information sensors and radio frequency identification technologies. In the present disclosure, integration of a plurality of power devices is based on the internet of things. More specifically, the following related art may be involved:
radio frequency identification technology; RFID is a simple wireless system consisting of one interrogator (or reader) and many transponders (or tags). The tags are composed of coupling elements and chips, each tag has an electronic code of a unique expansion entry I, is attached to an object to identify a target object, and transmits radio frequency information to a reader through an antenna, wherein the reader is equipment for reading the information.
A sensing network: the MEMS is an integrated micro device system consisting of a micro sensor, a micro actuator, a signal processing and control circuit, a communication interface, a power supply and the like. The aim is to integrate the acquisition, processing and execution of information together to form a multifunctional micro system, and integrate the system in a large-size system, thereby greatly improving the automation, intelligence and reliability level of the system.
M2M system framework: M2M is a networked application and service with intelligent interaction of machine terminals as core. It will enable intelligent control of the object.
Cloud computing: a core idea of cloud computing is to continuously improve the processing capacity of the cloud, continuously reduce the processing load of a user terminal, finally simplify the user terminal into a simple input and output device, and enjoy the strong computing processing capacity of the cloud as required. The internet of things perception layer obtains a large amount of data information, the data information is transmitted through the network layer and then placed on a standard platform, high-performance cloud computing is used for processing the data information, and the data information is endowed with intelligence and can be finally converted into information useful for a terminal user.
In S204, idle information for a plurality of target resources is determined. The method comprises the following steps: acquiring real-time information of a plurality of target resources based on the Internet of things; acquiring the executing task information of the target resources; and determining idle information of a plurality of target resources according to the real-time information and the task information being executed.
In one embodiment, determining idle information of a plurality of target resources according to the real-time information and the executing task information comprises: determining the occupation states and task duration of the plurality of resources according to the real-time information and the task information being executed; and determining idle information for a plurality of target resources based on the occupancy status and task duration.
In S206, the dynamic modeling of the plurality of target resources is performed based on the idle information and the task information, and scheduling information is generated. The method comprises the following steps: determining the time to be occupied by the target resources and executing operation based on the task information; determining available times for the plurality of target resources based on the idle information; and dynamically modeling through occupied time, execution operation and available time to generate the scheduling information.
In one embodiment, generating the scheduling information by dynamically modeling the occupied time and the execution operation, available time includes: performing dynamic modeling through occupied time, execution operation and available time to generate the working start time and the working end time of a plurality of target resources; and/or dynamically modeling by occupying time, executing operation and available time to generate working contents of a plurality of target resources; and/or generating transmission data of a plurality of target resources by carrying out dynamic modeling through occupied time, execution operation and available time; and generating the scheduling information through the working start time and the working end time of the target resources, the working content and the transmission data.
In S208, the plurality of target resources are scheduled based on the scheduling information. The method comprises the following steps: splitting the scheduling information according to a plurality of target resources to generate a plurality of sub-scheduling information; and respectively sending the self-scheduling information to a plurality of target resources to schedule the target resources.
For example, if the a scheduling task needs 3 electrical devices to work cooperatively, the working idle time of the 3 electrical devices needs to be determined respectively, then the a scheduling task is split, and 3 scheduling instructions are generated respectively, where the scheduling instructions may include a task start time, task content, and task end time. And respectively sending the 3 pieces of scheduling information to the 3 pieces of power equipment, and automatically starting the 3 pieces of equipment to work at the specified time of the task.
In one embodiment, further comprising: and displaying the idle information of the target resources. The states of all the devices can be displayed in real time through the Internet of things, so that managers can pay attention to the task progress and coordinate emergencies.
According to the multi-target resource scheduling automatic control method, task information from a mobile Internet of things terminal is obtained; determining idle information of a plurality of target resources; performing dynamic modeling on the plurality of target resources based on the idle information and the task information to generate scheduling information; and the mode of scheduling the target resources based on the scheduling information can update and present the management and control data in scheduling automation in real time, efficiently and accurately, and perform real-time monitoring, intelligent inventory and efficient management on assets.
It should be clearly understood that this disclosure describes how to make and use particular examples, but the principles of this disclosure are not limited to any details of these examples. Rather, these principles can be applied to many other embodiments based on the teachings of the present disclosure.
FIG. 3 is a flowchart illustrating a method for multi-target resource scheduling automation management and control, according to another example embodiment. The flow shown in fig. 3 is a detailed description of "determining idle information of a plurality of target resources" at S204 in the flow shown in fig. 2.
As shown in fig. 3, in S302, real-time information of a plurality of target resources is acquired. Real-time status information of the target resource may be obtained, for example, based on the internet of things, and the real-time information may include geographic location of the target resource, environmental information, task time information, and the like.
In S304, the executing task information of the plurality of target resources is acquired.
In S306, the occupation states and task durations of the plurality of resources are determined according to the real-time information and the executing task information.
In S308, idle information for a plurality of target resources is determined based on the occupancy state and the task duration. When the target resource executes the task in different places, the time for returning the target resource to the predetermined position is also required to be counted as the occupied time.
FIG. 4 is a flowchart illustrating a method for multi-target resource scheduling automation management and control, according to another example embodiment. The flow shown in fig. 4 is a detailed description of S206 "generating scheduling information by dynamically modeling the plurality of target resources based on the idle information and the task information" in the flow shown in fig. 2.
As shown in fig. 4, in S402, the available time of the plurality of target resources is determined based on the idle information.
In S404, work start times and end times of the plurality of target resources are generated by dynamically modeling the occupied time and the execution operation, available time.
In S406, the work content of the plurality of target resources is generated by performing dynamic modeling by occupying time and performing operation, available time.
In S408, transmission data of a plurality of target resources is generated by performing dynamic modeling by occupying time and performing operation, available time.
In S410, the scheduling information is generated by the work start time and end time, the work content, and the transmission data of the plurality of target resources.
For example, the a scheduling task needs 3 power devices to work together, and then needs to determine the working idle time of the 3 power devices respectively, and may generate the working start time and end time, the working content, the transmission data, and other relevant information of the 3 devices, for example, through dynamic modeling of the occupied time and the execution operation, and the available time of the 3 devices. Then, the scheduling task A is split, and 3 scheduling instructions are generated respectively, wherein the scheduling instructions can comprise task starting time, task content, task ending time and the like. And respectively sending the 3 pieces of scheduling information to the 3 pieces of power equipment, and automatically starting the 3 pieces of equipment to work at the specified time of the task.
It should be noted that when the scheduling task involves the auxiliary operation processing of the worker, the worker needs to be informed of the relevant task scheduling in other ways, and then the task time is confirmed.
The multi-target resource scheduling method disclosed by the invention relates to the collection of enterprise information, including but not limited to various information needing to be managed and controlled, such as equipment state information, personnel information, asset management information, enterprise operation information and the like, the information is summarized, a big data real-time dynamic analysis updating technology is applied to realize a dynamic modeling process, the result is updated in real time in the application of a pre-established user side, a regulation and control function can be added at an APP side, and different regulation and control authorities are set for managers to remotely schedule tasks.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.
Fig. 5 is a block diagram illustrating a plurality of target resource scheduling automation management appliances, according to an example embodiment. The plurality of target resource scheduling automation control apparatuses 50 shown in fig. 5 include: a task module 502, an idle module 504, an information module 506, and a scheduling module 508, an exposure module 510.
The task module 502 is used for acquiring task information from the mobile internet of things terminal;
the idle module 504 is configured to determine idle information for a plurality of target resources; the method comprises the following steps: the method comprises the steps that a mobile Internet of things terminal obtains task information, wherein the task information comprises a plurality of target resources and corresponding operation sequences; wherein the target resources comprise equipment, personnel and assets.
Further comprising: acquiring real-time information of a plurality of target resources; acquiring the executing task information of the target resources; and determining idle information of a plurality of target resources according to the real-time information and the task information being executed.
The information module 506 is configured to perform dynamic modeling on the plurality of target resources based on the idle information and the task information, and generate scheduling information; the method comprises the following steps: determining the time to be occupied by the target resources and executing operation based on the task information; determining available times for the plurality of target resources based on the idle information; and dynamically modeling through occupied time, execution operation and available time to generate the scheduling information.
The scheduling module 508 is configured to schedule the plurality of target resources based on the scheduling information. The method comprises the following steps: splitting the scheduling information according to a plurality of target resources to generate a plurality of sub-scheduling information; and respectively sending the self-scheduling information to a plurality of target resources to schedule the target resources.
The presentation module 510 is configured to present the idle information of the plurality of target resources.
According to the automatic management and control device for scheduling the multiple target resources, task information from a mobile Internet of things terminal is obtained; determining idle information of a plurality of target resources; performing dynamic modeling on the plurality of target resources based on the idle information and the task information to generate scheduling information; and the mode of scheduling the target resources based on the scheduling information can update and present the management and control data in scheduling automation in real time, efficiently and accurately, and perform real-time monitoring, intelligent inventory and efficient management on assets.
Exemplary embodiments of the present disclosure are specifically illustrated and described above. It is to be understood that the present disclosure is not limited to the precise arrangements, instrumentalities, or instrumentalities described herein; on the contrary, the disclosure is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (5)
1. The multi-target resource scheduling automatic control method is characterized by comprising the following steps:
acquiring task information from a mobile Internet of things terminal;
determining idle information of a plurality of target resources;
performing dynamic modeling on the plurality of target resources based on the idle information and the task information to generate scheduling information; and
scheduling the plurality of target resources based on the scheduling information;
the idle information and the task information perform dynamic modeling of the plurality of target resources to generate scheduling information, including:
determining the time to be occupied by the target resources and executing operation based on the task information;
determining available times for the plurality of target resources based on the idle information; and
performing dynamic modeling through occupied time, execution operation and available time to generate the scheduling information;
generating the scheduling information by dynamically modeling the occupied time, the execution operation and the available time, and the method comprises the following steps:
performing dynamic modeling through occupied time, execution operation and available time to generate the working start time and the working end time of a plurality of target resources; and/or
Performing dynamic modeling through occupied time, execution operation and available time to generate working contents of a plurality of target resources; and/or
Carrying out dynamic modeling through occupied time, execution operation and available time to generate transmission data of a plurality of target resources;
generating the scheduling information through the working start time and end time, the working content and the transmission data of a plurality of target resources;
scheduling the plurality of target resources based on the scheduling information, comprising:
splitting the scheduling information according to a plurality of target resources to generate a plurality of sub-scheduling information; and
and respectively sending the sub-scheduling information to a plurality of target resources to schedule the target resources.
2. The method for multi-target resource scheduling automation management and control of claim 1, further comprising presenting the idle information of the plurality of target resources.
3. The method for automatically managing and controlling multi-objective resource scheduling according to claim 1, wherein the obtaining of the task information from the mobile internet of things terminal comprises:
the method comprises the steps that a mobile Internet of things terminal obtains task information, wherein the task information comprises a plurality of target resources and corresponding operation sequences;
wherein the target resources comprise equipment, personnel and assets.
4. The method for multi-target resource scheduling automation management and control as claimed in claim 1, wherein determining idle information of a plurality of target resources comprises:
acquiring real-time information of a plurality of target resources;
acquiring the executing task information of the target resources; and
and determining idle information of a plurality of target resources according to the real-time information and the executing task information.
5. The method for automatically managing and controlling multi-target resource scheduling according to claim 4, wherein determining idle information of a plurality of target resources according to the real-time information and the executing task information comprises:
determining the occupation states and task duration of the target resources according to the real-time information and the task information being executed; and
determining idle information for a plurality of target resources based on the occupancy status and task duration.
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| CN105893158A (en) * | 2016-06-08 | 2016-08-24 | 北京工业大学 | Big data hybrid scheduling model on private cloud condition |
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